In a distributed system such as Cassandra, the most recent value of data is not necessarily on
every node all the time. The client application configures the consistency level per request to
manage response time versus data accuracy. The Cassandra 2.0 documentation contains detailed
discussions about how Cassandra distributes data and handles consistency
tracing activity on a five-node cluster, this tutorial shows the difference between these
consistency levels and the number of replicas that participate to satisfy a request:
Returns data from the nearest replica.
Returns the most recent data from the majority of replicas.
Returns the most recent data from all replicas.
Follow instructions to setup five nodes on your local computer, trace reads at different
consistency levels, and then compare the results.